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适用于任意大小家系的加权成对相关(WPC)连锁分析方法的多点开发及其在乳腺癌和酒精中毒家族数据中的应用

Multipoint development of the weighted pairwise correlation (WPC) linkage method for pedigrees of arbitrary size and application to the analysis of breast cancer and alcoholism familial data.

作者信息

Zinn-Justin A, Ziegler A, Abel L

机构信息

INSERM U.436, Mathematical and Statistical Modeling in Biology and Medicine, Faculté de Médecine Pitié-Salpêtrière, Paris, France.

出版信息

Genet Epidemiol. 2001 Jul;21(1):40-52. doi: 10.1002/gepi.1017.

Abstract

The weighted pairwise correlation (WPC) method is a simple and powerful model-free method of linkage analysis that has the advantages of being applicable to binary, ordered categorical, quantitative, or censored traits, and to consider all pairs of relatives in large pedigrees. The originally implemented approach was limited to the use of the identical by state (IBS) information, and we recently extended the WPC method to incorporate the identical by descent (IBD) information for two-point linkage analysis. Here, we develop a multipoint WPC method suitable for pedigrees of arbitrary size and large number of markers. The multipoint IBD estimation procedure for relative pairs is based on the efficient regression approach developed for pedigrees implemented in SOLAR. A robust and fast Monte-Carlo procedure is used to determine reliable P values. Application of the method to the 214 pedigrees from the Breast Cancer Linkage Consortium provided for the Genetic Analysis Workshop (GAW) 9 shows that multipoint WPC statistic values were not far from two-point maximum lod-score values obtained by the classical parametric linkage method and were higher than multipoint variance component analysis lod-scores obtained with SOLAR. The multipoint WPC method is also used to analyze the familial Collaborative Study of the Genetics of Alcoholism data on alcoholism released for GAW11. It allows a better specification of the linkage results previously obtained within the chromosome 4 region.

摘要

加权成对相关(WPC)方法是一种简单且强大的无模型连锁分析方法,具有适用于二元、有序分类、定量或删失性状,以及能考虑大型家系中所有亲属对的优点。最初实现的方法仅限于使用状态相同(IBS)信息,最近我们将WPC方法扩展到纳入两点连锁分析的同源相同(IBD)信息。在此,我们开发了一种适用于任意大小家系和大量标记的多点WPC方法。相对对的多点IBD估计程序基于在SOLAR中为家系开发的高效回归方法。使用一种稳健且快速的蒙特卡罗程序来确定可靠的P值。将该方法应用于为遗传分析研讨会(GAW)9提供的乳腺癌连锁协会的214个家系表明,多点WPC统计值与经典参数连锁方法获得的两点最大对数得分值相差不远,且高于用SOLAR获得的多点方差成分分析对数得分。多点WPC方法还用于分析为GAW11发布的酒精中毒遗传学家族合作研究数据。它能更好地明确先前在4号染色体区域内获得的连锁结果。

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